LLM Pricing
← All models

Qwen2.5-72B-Instruct

hyperbolic · chat model

Qwen2.5-72B-Instruct is listed here as a chat model from hyperbolic. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1200 / 1M tokens
Output
$0.3000 / 1M tokens
Cached input
N/A
Context
131.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.1200 / 1M tokens
Output
$0.3000 / 1M tokens
Embedding
$0.1200 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

Capabilities

Capability Supported
Vision —
Function calling ✅
Parallel function calling ✅
Tool choice ✅
Prompt caching —
Reasoning —
Response schema —
System messages ✅
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MMLU 74.2% accuracy Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
MMLU 83.3% accuracy Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
MATH 49.8% accuracy Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
MATH 57.7% accuracy Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
HumanEval 57.9% pass@1 Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
HumanEval 58.5% pass@1 Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
Artificial Analysis Coding Index 11.9 score Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
GPQA Diamond 49.1% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
Humanity's Last Exam 4.2% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
IFBench 36.9% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
SciCode 26.7% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
Qwen2.5-72B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
Llama-3.3-70B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 60%
Meta-Llama-3-70B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 60%
hermes3-70b
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Partial I/O overlap
Overall 60%
llama3.1-70b-instruct-fp8
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Partial I/O overlap
Overall 60%
llama3.1-nemotron-70b-instruct-fp8
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Partial I/O overlap
Overall 60%
llama3.3-70b-instruct-fp8
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Partial I/O overlap
Overall 60%
DeepSeek-R1-0528
hyperbolic
In $0.2500 / 1M tokens
Out $0.2500 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 53%
QwQ-32B
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 53%
Hermes-3-Llama-3.1-70B
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
32.8K
Same provider
Overall 49%
Qwen2.5-Coder-32B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
32.8K
Same provider
Overall 49%
Llama-3.2-3B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
32.8K
Same provider
Overall 49%
Meta-Llama-3.1-405B-Instruct
hyperbolic
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
32.8K
Same provider
Overall 49%
gpt-audio-mini-2025-10-06
Azure
In $0.6000 / 1M tokens
Out $2.4000 / 1M tokens
Output: audio, text
Function callingParallel function callingTool choiceSystem messages
16.4K
Partial I/O overlap
Overall 30%
gpt-audio-2025-08-28
Azure
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: audio, text
Function callingParallel function callingTool choiceSystem messages
16.4K
Partial I/O overlap
Overall 28%
gpt-audio-1.5-2026-02-23
Azure
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: audio, text
Function callingParallel function callingTool choiceSystem messages
16.4K
Partial I/O overlap
Overall 28%
gpt-4o-audio-preview-2024-12-17
Azure
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: audio, text
Function callingParallel function callingTool choiceSystem messages
16.4K
Partial I/O overlap
Overall 28%
gpt-4o-mini-audio-preview-2024-12-17
Azure
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: audio, text
Function callingParallel function callingTool choiceSystem messages
16.4K
Partial I/O overlap
Overall 28%